Open AccessSpatial Clusters of Chronic Childhood Conditions in the State of Paraíba, Brazil
Author(s) -
Malu Micilly Porfírio Santos Pinto,
Luciana Moura Mendes de Lima,
Rackynelly Alves Sarmento Soares,
Simone Elizabeth Duarte Coutinho,
Ana Tereza de Medeiros,
Ronei Marcos de Moraes
Publication year - 2022
Publication title -
journal of human growth and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 11
eISSN - 2175-3598
pISSN - 0104-1282
DOI - 10.36311/jhgd.v32.12618
Subject(s) - statistic , scan statistic , multidisciplinary approach , ecological study , incidence (geometry) , chronic disease , visibility , public health , environmental health , spatial analysis , population , spatial distribution , geography , medicine , demography , pediatrics , statistics , family medicine , nursing , physics , remote sensing , social science , mathematics , sociology , meteorology , optics
chronic conditions are complex health problems that require continuous and multidisciplinary care. When they affect children/adolescents, they require hospitalizations and periodic and long-term follow-up. Understanding the geographical distribution of these conditions will provide greater visibility to the problem and support the decision-making process.Objective: detect the spatial clusters of chronic health conditions affecting children and adolescents in the state of Paraíba, Brazil.Methods: ecological, retrospective, study employing secondary data from the Information System of Children and Adolescents with Chronic Disease from a reference hospital in the state of Paraíba, Brazil, covering the period from 2015 to 2017. The Spatial Incidence Ratio and the Spatial Scan statistic were used for the data analysis.Results: a concentration of spatial clusters was observed in the Mata Paraibana mesoregion, an area where the public hospital service is located, which functions as a reference in the recurrent hospitalizations of this population with chronic conditions.Conclusion: the detection of spatial clusters can help public managers to recognize the priority areas for the monitoring of chronic conditions in children and adolescents.